llm
Here's Why GPT-4 Becomes 'Stupid': Unpacking Performance Degradation
The performance degradation of GPT-4, often labeled as 'stupidity', is a pressing issue in AI, highlighting the model's inability to adapt to new data and the necessity for continuous learning in AI development.
The Impact of AI and LLMs on the Future of Cybersecurity
An exploration into the transformative potential of generative AI and LLMs in the cybersecurity realm.
Enhancing LLM Application Safety with LangChain Templates and NVIDIA NeMo Guardrails
Learn how LangChain Templates and NVIDIA NeMo Guardrails enhance LLM application safety.
IBM Introduces Efficient LLM Benchmarking Method, Cutting Compute Costs by 99%
IBM's new benchmarking method drastically reduces costs and time for evaluating LLMs.
IBM and Red Hat Introduce InstructLab for Collaborative LLM Customization
IBM and Red Hat launch InstructLab, enabling collaborative LLM customization without full retraining.
NVIDIA Launches Nemotron-4 340B for Synthetic Data Generation in AI Training
NVIDIA unveils Nemotron-4 340B, an open synthetic data generation pipeline optimized for large language models.
Character.AI Enhances AI Inference Efficiency, Reduces Costs by 33X
Character.AI announces significant breakthroughs in AI inference technology, reducing serving costs by 33 times since launch, making LLMs more scalable and cost-effective.
IBM Research Unveils Cost-Effective AI Inferencing with Speculative Decoding
IBM Research has developed a speculative decoding technique combined with paged attention to significantly enhance the cost performance of large language model (LLM) inferencing.
LangChain Introduces Self-Improving Evaluators for LLM-as-a-Judge
LangChain's new self-improving evaluators for LLM-as-a-Judge aim to align AI outputs with human preferences, leveraging few-shot learning and user feedback.
Ensuring Integrity: Secure LLM Tokenizers Against Potential Threats
NVIDIA's AI Red Team highlights the risks and mitigation strategies for securing LLM tokenizers to maintain application integrity and prevent exploitation.
Understanding the Role and Capabilities of AI Agents
Explore the concept of AI agents, their varying degrees of autonomy, and the importance of agentic behavior in LLM applications, according to LangChain Blog.
WordSmith Enhances Legal AI Operations with LangSmith Integration
WordSmith leverages LangSmith for prototyping, debugging, and evaluating LLM performance, enhancing operations for in-house legal teams.
NVIDIA NeMo Curator Enhances Non-English Dataset Preparation for LLM Training
NVIDIA NeMo Curator simplifies the curation of high-quality non-English datasets for LLM training, ensuring better model accuracy and reliability.
NVIDIA NeMo Enhances Customization of Large Language Models for Enterprises
NVIDIA NeMo enables enterprises to customize large language models for domain-specific needs, enhancing deployment efficiency and performance.
NVIDIA NeMo Enhances LLM Capabilities with Hybrid State Space Model Integration
NVIDIA NeMo introduces support for hybrid state space models, significantly enhancing the efficiency and capabilities of large language models.
Oracle Introduces In-Database LLMs and Automated Vector Store with HeatWave GenAI
Oracle's HeatWave GenAI now offers in-database LLMs and an automated vector store, enabling generative AI applications without AI expertise or additional costs.
NVIDIA H100 GPUs and TensorRT-LLM Achieve Breakthrough Performance for Mixtral 8x7B
NVIDIA's H100 Tensor Core GPUs and TensorRT-LLM software demonstrate record-breaking performance for the Mixtral 8x7B model, leveraging FP8 precision.
LangChain: Understanding Cognitive Architecture in AI Systems
Explore the concept of cognitive architecture in AI, outlining various levels of autonomy and their applications in LLM-driven systems.
AssemblyAI Enhances Speech AI Capabilities with LLM Integrations
AssemblyAI introduces new features and integrations with LangChain, LlamaIndex, and Twilio to enhance speech AI applications using Large Language Models (LLMs).
NVIDIA NIM Enhances Multilingual LLM Deployment
NVIDIA NIM introduces support for multilingual large language models, improving global business communication and efficiency with LoRA-tuned adapters.
NVIDIA Explores Cyber Language Models to Enhance Cybersecurity
NVIDIA's research into cyber language models aims to address cybersecurity challenges by training models on raw cyber logs, enhancing threat detection and defense.
LangChain Enhances Core Tool Interfaces and Documentation
LangChain introduces key improvements to its core tool interfaces and documentation, simplifying tool integration, input handling, and error management.
Enhancing Agent Planning: Insights from LangChain
LangChain explores the limitations and future of planning for agents with LLMs, highlighting cognitive architectures and current fixes.
NVIDIA and Meta Collaborate on Advanced RAG Pipelines with Llama 3.1 and NeMo Retriever NIMs
NVIDIA and Meta introduce scalable agentic RAG pipelines with Llama 3.1 and NeMo Retriever NIMs, optimizing LLM performance and decision-making capabilities.
Enhancing LLM Tool-Calling Performance with Few-Shot Prompting
LangChain's experiments reveal how few-shot prompting significantly boosts LLM tool-calling accuracy, especially for complex tasks.
Codestral Mamba: NVIDIA's Next-Gen Coding LLM Revolutionizes Code Completion
NVIDIA's Codestral Mamba, built on Mamba-2 architecture, revolutionizes code completion with advanced AI, enabling superior coding efficiency.
AMD Instinct MI300X Accelerators Boost Performance for Large Language Models
AMD's MI300X accelerators, with high memory bandwidth and capacity, enhance the performance and efficiency of large language models.
LangSmith Introduces Flexible Dataset Schemas for Efficient Data Curation
LangSmith now offers flexible dataset schemas, enabling efficient and iterative data curation for LLM applications, as announced by LangChain Blog.
LangSmith Enhances LLM Apps with Dynamic Few-Shot Examples
LangSmith introduces dynamic few-shot example selectors, allowing for improved LLM app performance by dynamically selecting relevant examples based on user input.
NVIDIA TensorRT-LLM Boosts Hebrew LLM Performance
NVIDIA's TensorRT-LLM and Triton Inference Server optimize performance for Hebrew large language models, overcoming unique linguistic challenges.
Circle and Berkeley Utilize AI for Blockchain Transactions with TXT2TXN
Circle and Blockchain at Berkeley introduce TXT2TXN, an AI-driven tool using Large Language Models to simplify blockchain transactions through intent-based applications.
LangGraph v0.2 Enhances Customization with New Checkpointer Libraries
LangGraph v0.2 introduces new checkpointer libraries, including SQLite and Postgres options, to enhance customization and resilience in LLM applications.
NVIDIA Unveils Pruning and Distillation Techniques for Efficient LLMs
NVIDIA introduces structured pruning and distillation methods to create efficient language models, significantly reducing resource demands while maintaining performance.
Anyscale Explores Direct Preference Optimization Using Synthetic Data
Anyscale's latest blog post delves into Direct Preference Optimization (DPO) with synthetic data, highlighting its methodology and applications in tuning language models.
Understanding Decoding Strategies in Large Language Models (LLMs)
Explore how Large Language Models (LLMs) choose the next word using decoding strategies. Learn about different methods like greedy search, beam search, and more.
Strategies to Optimize Large Language Model (LLM) Inference Performance
NVIDIA experts share strategies to optimize large language model (LLM) inference performance, focusing on hardware sizing, resource optimization, and deployment methods.
AI21 Labs Unveils Jamba 1.5 LLMs with Hybrid Architecture for Enhanced Reasoning
AI21 Labs introduces Jamba 1.5, a new family of large language models leveraging hybrid architecture for superior reasoning and long context handling.
NVIDIA Introduces Efficient Fine-Tuning with NeMo Curator for Custom LLM Datasets
NVIDIA's NeMo Curator offers a streamlined method for fine-tuning large language models (LLMs) with custom datasets, enhancing machine learning workflows.
Character.AI Enters Agreement with Google, Announces Leadership Changes
Character.AI announces a strategic agreement with Google and key leadership changes to accelerate the development of personalized AI products.
NVIDIA NIM Microservices Enhance LLM Inference Efficiency at Scale
NVIDIA NIM microservices optimize throughput and latency for large language models, improving efficiency and user experience for AI applications.
MIT Research Unveils AI's Potential in Safeguarding Critical Infrastructure
MIT's new study reveals how large language models (LLMs) can efficiently detect anomalies in critical infrastructure systems, offering a plug-and-play solution.
AMD Radeon PRO GPUs and ROCm Software Expand LLM Inference Capabilities
AMD's Radeon PRO GPUs and ROCm software enable small enterprises to leverage advanced AI tools, including Meta's Llama models, for various business applications.
TEAL Introduces Training-Free Activation Sparsity to Boost LLM Efficiency
TEAL offers a training-free approach to activation sparsity, significantly enhancing the efficiency of large language models (LLMs) with minimal degradation.
NVIDIA's Blackwell Platform Breaks New Records in MLPerf Inference v4.1
NVIDIA's Blackwell architecture sets new benchmarks in MLPerf Inference v4.1, showcasing significant performance improvements in LLM inference.
LangGraph.js v0.2 Enhances JavaScript Agents with Cloud and Studio Support
LangChain releases LangGraph.js v0.2 with new features for building and deploying JavaScript agents, including support for LangGraph Cloud and LangGraph Studio.
NVIDIA GH200 NVL32: Revolutionizing Time-to-First-Token Performance with NVLink Switch
NVIDIA's GH200 NVL32 system shows significant improvements in time-to-first-token performance for large language models, enhancing real-time AI applications.
Ollama Enables Local Running of Llama 3.2 on AMD GPUs
Ollama makes it easier to run Meta's Llama 3.2 model locally on AMD GPUs, offering support for both Linux and Windows systems.
Innovative LoLCATs Method Enhances LLM Efficiency and Quality
Together.ai introduces LoLCATs, a novel approach for linearizing LLMs, enhancing efficiency and quality. This method promises significant improvements in AI model development.
NVIDIA and Outerbounds Revolutionize LLM-Powered Production Systems
NVIDIA and Outerbounds collaborate to streamline the development and deployment of LLM-powered production systems with advanced microservices and MLOps platforms.
NVIDIA Unveils Llama 3.1-Nemotron-70B-Reward to Enhance AI Alignment with Human Preferences
NVIDIA introduces Llama 3.1-Nemotron-70B-Reward, a leading reward model that improves AI alignment with human preferences using RLHF, topping the RewardBench leaderboard.
Llama 3.1 405B Achieves 1.5x Throughput Boost with NVIDIA H200 GPUs and NVLink
NVIDIA's latest advancements in parallelism techniques enhance Llama 3.1 405B throughput by 1.5x, using NVIDIA H200 Tensor Core GPUs and NVLink Switch, improving AI inference performance.
Enhancing Large Language Models with NVIDIA Triton and TensorRT-LLM on Kubernetes
Explore NVIDIA's methodology for optimizing large language models using Triton and TensorRT-LLM, while deploying and scaling these models efficiently in a Kubernetes environment.
Boosting LLM Performance on RTX: Leveraging LM Studio and GPU Offloading
Explore how GPU offloading with LM Studio enables efficient local execution of large language models on RTX-powered systems, enhancing AI applications' performance.
LangChain Celebrates Two Years: Reflecting on Milestones and Future Directions
LangChain marks its second anniversary, highlighting its evolution from a Python package to a leading company in LLM applications, and introduces LangSmith and LangGraph.
Exploring Model Merging Techniques for Large Language Models (LLMs)
Discover how model merging enhances the efficiency of large language models by repurposing resources and improving task-specific performance, according to NVIDIA's insights.
The Crucial Role of Communication in AI and LLM Development
Explore the significance of communication in AI and LLM applications, highlighting the importance of prompt engineering, agent frameworks, and UI/UX innovations.
NVIDIA Develops RAG-Based LLM Workflows for Enhanced AI Solutions
NVIDIA is advancing AI capabilities by developing RAG-based question-and-answer LLM workflows, offering insights into system architecture and performance improvements.
Optimizing LLMs: Enhancing Data Preprocessing Techniques
Explore data preprocessing techniques essential for improving large language model (LLM) performance, focusing on quality enhancement, deduplication, and synthetic data generation.
Innovative SCIPE Tool Enhances LLM Chain Fault Analysis
SCIPE offers developers a powerful tool to analyze and improve performance in LLM chains by identifying problematic nodes and enhancing decision-making accuracy.
NVIDIA's TensorRT-LLM Enhances AI Efficiency with KV Cache Early Reuse
NVIDIA introduces KV cache early reuse in TensorRT-LLM, significantly speeding up inference times and optimizing memory usage for AI models.
NVIDIA Megatron-LM Powers 172 Billion Parameter LLM for Japanese Language Proficiency
NVIDIA's Megatron-LM aids in developing a 172 billion parameter large language model focusing on Japanese language capabilities, enhancing AI's multilingual proficiency.
NVIDIA's TensorRT-LLM Multiblock Attention Enhances AI Inference on HGX H200
NVIDIA's TensorRT-LLM introduces multiblock attention, significantly boosting AI inference throughput by up to 3.5x on the HGX H200, tackling challenges of long-sequence lengths.
NVIDIA NIM Revolutionizes AI Model Deployment with Optimized Microservices
NVIDIA NIM streamlines the deployment of fine-tuned AI models, offering performance-optimized microservices for seamless inference, enhancing enterprise AI applications.
Enhancing LLMs for Domain-Specific Multi-Turn Conversations
Explore the challenges and solutions in fine-tuning Large Language Models (LLMs) for effective domain-specific multi-turn conversations, as detailed by together.ai.
NVIDIA TensorRT-LLM Enhances Encoder-Decoder Models with In-Flight Batching
NVIDIA's TensorRT-LLM now supports encoder-decoder models with in-flight batching, offering optimized inference for AI applications. Discover the enhancements for generative AI on NVIDIA GPUs.
Enhancing AI Workflow Security with WebAssembly Sandboxing
Explore how WebAssembly provides a secure environment for executing AI-generated code, mitigating risks and enhancing application security.
Transforming Biomedicine and Health: The Rising Influence of ChatGPT and LLMs
The paper discusses ChatGPT's potential in biomedical information retrieval, question answering, and medical text summarization, but also highlights limitations, privacy concerns, and the need for comprehensive evaluations.
Is Conversational Diagnostic AI like AMIE Feasible?
AMIE, an AI system developed by Google Research and DeepMind, demonstrates superior diagnostic accuracy compared to human physicians in a groundbreaking study, signaling a new era in AI-driven healthcare.
Unraveling ChatGPT Jailbreaks: A Deep Dive into Tactics and Their Far-Reaching Impacts
Exploring the intricacies of ChatGPT jailbreak strategies, this paper delves into the emerging vulnerabilities and the advanced methodologies developed to evaluate their effectiveness.
Deceptive AI: The Hidden Dangers of LLM Backdoors
Recent studies reveal large language models can deceive, challenging AI safety training methods. They can hide dangerous behaviors, creating false safety impressions, necessitating the development of robust protocols.
OpenAI Explores GPT-4 for Content Moderation
OpenAI is leveraging GPT-4 for content moderation, streamlining policy creation from months to hours. The process involves refining policies through iterative feedback between GPT-4 and human experts, enabling efficient, large-scale moderation.
ChatQA: A Leap in Conversational QA Performance
The study "ChatQA: Building GPT-4 Level Conversational QA Models" by Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Mohammad Shoeybi, and Bryan Catanzaro from NVIDIA focuses on the development of a new family of conversational question-answering models, including Llama2-7B, Llama2-13B, Llama2-70B, and an in-house 8B pretrained GPT model, which improves 'unanswerable' questions.
Understand JPMorgan's DocLLM: Enhancing AI-Powered Document Analysis
JPMorgan introduces DocLLM, an AI model for multimodal document understanding. This lightweight extension of LLMs excels in analyzing business documents, employing a novel spatial attention mechanism and bounding box information instead of costly image encoders.
Phantom Wallet CEO Ensures User Privacy Amidst Quests Feature Concerns
CEO Brandon Millman of Phantom wallet reaffirms the company's commitment to user privacy and addresses concerns over the Quests feature and data handling practices.
What is OpenGPT and How It Differs from ChatGPT?
OpenGPT is an open-source project by LangChain AI, offering a community-driven alternative to OpenAI's GPT models, democratizing access to advanced language models, and addressing sustainability, community management, and competition with proprietary models.
Microsoft Researchers Introduce CodeOcean and WaveCode
Microsoft researchers introduce WaveCoder and CodeOcean, pioneering code language model instruction tuning. WaveCoder excels in diverse code tasks, outperforming open-source models. CodeOcean's 20,000 instruction instances enhance model generalization.
Why Multimodal Large Language Models (MLLM) is promise for Autonomous Driving?
The integration of MLLMs in autonomous driving could revolutionize the global economy, with ARK's research suggesting a potential GDP increase of 20% over the next decade, driven by safety improvements, productivity gains, and a shift to electric vehicles.
Over 70% Accuracy: ChatGPT Shows Promise in Clinical Decision Support
A study assessing ChatGPT's utility in clinical decision-making found it has a 71.7% overall accuracy in clinical vignettes, excelling in final diagnoses with 76.9% accuracy. This highlights its potential as an AI tool in healthcare workflows.
StreamingLLM Breakthrough: Handling Over 4 Million Tokens with 22.2x Inference Speedup
SwiftInfer, leveraging StreamingLLM's groundbreaking technology, significantly enhances large language model inference, enabling efficient handling of over 4 million tokens in multi-round conversations with a 22.2x speedup.
Binance's Chief Communications Officer Debunks Reuters' Claims, Denies Alleged Financial Irregularities
Binance's Chief Communications Officer, Patrick Hillmann, took to Twitter to vehemently deny allegations of Binance commingling customer and company funds as reported by Reuters. Hillmann called out the story as weak and filled with conspiracy theories.
Indian Woman Caught After Stealing 63.5 Bitcoins From Company She Co-Founded
Ayushi Jain, a 26-year-old Indian woman, has been arrested by police after she stole 63.5 Bitcoins worth approximately $420,000 from Bengaluru-based BitCipher Labs LLP, a company she co-founded with Ashish Singhal.
Equating Cryptocurrency Solely with Illegal Conduct Lacks Understanding
Cryptocurrency has its benefits, but several consumers are still unaware of what they are because of security concerns and how the technology functions. In a recent interview, Coleman Watson – Managing partner Watson LLP – identified that while many people are interested in using cryptocurrency, lack of understanding remains a major hurdle.
US Court to Determine Which Law Firm Should Lead Classic Action Against Tether
Tether (USDT) stablecoin issuer, IFinex and its subsidiary, Bitfinex exchange are facing charges of allegedly manipulating the price of Bitcoin in 2017. Although the company, on the other hand, is vehemently in denial of the charges levelled against it.
JP Morgan Chase to Pay $2.5 Million to Settle Class Action Lawsuit Over Wrongfully Incurred Crypto Charges
JPMorgan Chase has settled a lawsuit over unannounced changes made to the fee structure applied to crypto transactions using its credit cards in 2018. The American bank agreed to pay $2.5 million to settle a class-action lawsuit regarding its decision made in 2018 to treat cryptocurrency purchases with Chase credit cards as cash advances, ensuing in higher fees. However, JPMorgan is not admitting to any wrong-doing as part of the deal.
Telegram Appeals Federal Court Injunction to Stop Gram Distribution
Telegram has filed an appeal to yesterday’s ruling by a United Stated federal court in favour of the US Securities and Exchange Commission (SEC) which has prohibited the issuance of Gram tokens for the time being.
Has Judgement Finally Come for 2017 ICOs? Class Action Lawsuits Name Binance, BitMEX and Block.One Among Host of Crypto Defendants
Crypto Giants Binance, BitMEX, along with Executives CZ, Arthur Hayes Named Among Defendants in 11 Class Action Suits For Violating Securities Laws.
Russia Restricts Anonymous Cash Deposits to Online Wallets
The Russian Government has put strict limits on anonymous deposits made to online wallets. While it is not a complete ban, the initiative by lawmakers is promoted as a step to deter illegal activity such as money laundering and illicit drug transactions and could affect up to 10 million users.
Canadian Tax Agency Asks Coinsquare Crypto Exchange to Hand Over Clients Personal Data
The Canada Revenue Agency has requested a judge of the Federal Court to force a crypto exchange to hand over information about all its customers.
Paris Blockchain Week Summit Announces Its 2020 Speaker Lineup
Paris, France - January 16th, 2020 - Paris Blockchain Week Summit (PBWS), the first international conference held in France dedicated to professionals in the blockchain and crypto-assets space, has announced the primary speaker lineup for its upcoming event on March 31 - April 1, 2020.
Iconic Funds to Issue First Exchange Traded Product for Bitcoin on a Regulated Market
Iconic Funds, a global crypto asset management firm, has said it will issue an Exchange Traded Note (ETN) for Bitcoin of up to 100,000,000 Notes, tracking the NYSE Bitcoin Index (Ticker: NYXBT). The Notes may be subscribed to by qualified investors with both EUR and BTC, with a minimum subscription size of 100,000 Notes and an issue price of €1,00 per Note. Iconic Funds will apply for admission to trading of the Notes on the regulated market of the Luxembourg and Frankfurt Stock Exchanges in Q4 2019. The Notes will have a German ISIN.
Breaking: London Stock Exchange Rejects £32B Takeover Offer from HKEX
Rejection of Conditional Proposal from HKEX